Auto-Like Twitter Posts with AI Hashtags, Cookie Rotation & SharePoint
Automates liking relevant Twitter posts hourly using AI-generated hashtags, rotating cookies to avoid limits, and SharePoint for duplicate tracking via Phantombuster.
This workflow automates Twitter engagement by scheduling likes for relevant posts in the AI/BPA niche. It triggers hourly, selects a rotating Twitter session cookie from SharePoint to stay under daily limits, generates a realistic hashtag via OpenAI, scrapes recent tweets with Phantombuster, picks a random unliked post, and executes the like action before logging it to prevent duplicates.
Benefits include hands-free account activity for growth hackers and social media managers, mimicking organic engagement without manual effort. It ensures compliance with Twitter's 1000 likes/day limit through cookie rotation and duplicate checks, saving hours of scrolling while boosting visibility.
Ideal for brand builders maintaining active profiles. Customize by editing AI prompts for different topics, adding cookies for more likes, or swapping storage to Google Drive. Requires n8n 1.33+, Phantombuster Growth plan, OpenAI, and SharePoint setup with CSV files.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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